2082 search results - page 108 / 417 » Using model knowledge for learning inverse dynamics |
128
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
130
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ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
We use concepts from chaos theory in order to model
nonlinear dynamical systems that exhibit deterministic behavior.
Observed time series from such a system can be embedded
into...
104
Voted
AIMSA
2000
Springer
15 years 7 months ago
2000
Springer
Allowing the student to have some control over the diagnosis inspecting and changing the model the system has made of him is a feasible approach in student modelling which tracks t...
151
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CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
132
Voted
SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...